Models & Architectures · Level 2 of 5
Naive Bayes
A probabilistic classifier assuming conditional feature independence given the class.
The assumption is often imperfect but makes estimation and prediction simple.
Example
A text classifier combines class-conditional word evidence.
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Naive Bayes. A probabilistic classifier assuming conditional feature independence given the class. The assumption is often imperfect but makes estimation and prediction simple. For example: A text classifier combines class-conditional word evidence.
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Why it matters
This helps you distinguish a model’s structural assumptions from its learned parameter values.
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